Kevin Spiekermann

942 total citations
13 papers, 658 citations indexed

About

Kevin Spiekermann is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Kevin Spiekermann has authored 13 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 5 papers in Computational Theory and Mathematics and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Kevin Spiekermann's work include Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (5 papers) and Advanced Chemical Physics Studies (4 papers). Kevin Spiekermann is often cited by papers focused on Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (5 papers) and Advanced Chemical Physics Studies (4 papers). Kevin Spiekermann collaborates with scholars based in United States, Germany and Taiwan. Kevin Spiekermann's co-authors include William H. Green, Weiwei Gao, Ronnie H. Fang, Liangfang Zhang, Pavimol Angsantikul, Lagnajit Pattanaik, Jia Zhuang, Yue Zhang, Wansong Chen and Jianhua Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and The Journal of Physical Chemistry B.

In The Last Decade

Kevin Spiekermann

13 papers receiving 649 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kevin Spiekermann United States	10	264	223	188	120	112	13	658
Taehee Kang South Korea	22	362 1.4×	122 0.5×	652 3.5×	80 0.7×	24 0.2×	65	1.5k
Martina Pannuzzo Italy	17	121 0.5×	62 0.3×	680 3.6×	180 1.5×	45 0.4×	39	1.0k
Bingjie Zhou China	15	147 0.6×	92 0.4×	279 1.5×	124 1.0×	19 0.2×	62	895
Sebastian Kraszewski France	18	328 1.2×	218 1.0×	449 2.4×	75 0.6×	13 0.1×	46	870
Samir V. Jenkins United States	20	439 1.7×	280 1.3×	318 1.7×	137 1.1×	8 0.1×	45	1.1k
Christian Luebbert Germany	22	345 1.3×	385 1.7×	339 1.8×	45 0.4×	22 0.2×	58	1.3k
Man Tang China	20	1.1k 4.3×	273 1.2×	887 4.7×	89 0.7×	44 0.4×	47	1.8k
Shujuan Xu China	17	263 1.0×	151 0.7×	623 3.3×	51 0.4×	12 0.1×	29	907
Gael Clergeaud Denmark	11	201 0.8×	103 0.5×	172 0.9×	140 1.2×	11 0.1×	24	564
Abhijit Sarkar United States	14	222 0.8×	312 1.4×	486 2.6×	207 1.7×	15 0.1×	37	1.2k

Countries citing papers authored by Kevin Spiekermann

Since Specialization

Citations

This map shows the geographic impact of Kevin Spiekermann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kevin Spiekermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Spiekermann more than expected).

Fields of papers citing papers by Kevin Spiekermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Spiekermann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kevin Spiekermann. The network helps show where Kevin Spiekermann may publish in the future.

Co-authorship network of co-authors of Kevin Spiekermann

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Spiekermann. A scholar is included among the top collaborators of Kevin Spiekermann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Spiekermann. Kevin Spiekermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Spiekermann, Kevin, et al.. (2025). Revisiting a large and diverse data set for barrier heights and reaction energies: best practices in density functional theory calculations for chemical kinetics. Physical Chemistry Chemical Physics. 27(25). 13326–13339. 4 indexed citations

Li, Shih‐Cheng, Haoyang Wu, Angiras Menon, et al.. (2024). When Do Quantum Mechanical Descriptors Help Graph Neural Networks to Predict Chemical Properties?. Journal of the American Chemical Society. 146(33). 23103–23120. 34 indexed citations

Spiekermann, Kevin, Angiras Menon, William H. Green, et al.. (2024). Accurately Predicting Barrier Heights for Radical Reactions in Solution Using Deep Graph Networks. The Journal of Physical Chemistry A. 128(39). 8384–8403. 5 indexed citations

Pattanaik, Lagnajit, Angiras Menon, Volker Settels, et al.. (2023). ConfSolv: Prediction of Solute Conformer-Free Energies across a Range of Solvents. The Journal of Physical Chemistry B. 127(47). 10151–10170. 9 indexed citations

Spiekermann, Kevin, et al.. (2023). Machine Learning Validation via Rational DatasetSampling with astartes. The Journal of Open Source Software. 8(91). 5996–5996. 9 indexed citations

Spiekermann, Kevin, Thijs Stuyver, Lagnajit Pattanaik, & William H. Green. (2023). Comment on ‘Physics-based representations for machine learning properties of chemical reactions’. Machine Learning Science and Technology. 4(4). 48001–48001. 8 indexed citations

Johnson, Matthew S., Alon Grinberg Dana, Yunsie Chung, et al.. (2022). RMG Database for Chemical Property Prediction. Journal of Chemical Information and Modeling. 62(20). 4906–4915. 88 indexed citations

Spiekermann, Kevin, Lagnajit Pattanaik, & William H. Green. (2022). High accuracy barrier heights, enthalpies, and rate coefficients for chemical reactions. Scientific Data. 9(1). 417–417. 42 indexed citations

Spiekermann, Kevin, Lagnajit Pattanaik, & William H. Green. (2022). Fast Predictions of Reaction Barrier Heights: Toward Coupled-Cluster Accuracy. The Journal of Physical Chemistry A. 126(25). 3976–3986. 49 indexed citations

10.

Payne, A. Mark, Kevin Spiekermann, & William H. Green. (2022). Detailed Reaction Mechanism for 350–400 °C Pyrolysis of an Alkane, Aromatic, and Long-Chain Alkylaromatic Mixture. Energy & Fuels. 36(3). 1635–1646. 15 indexed citations

11.

Angsantikul, Pavimol, Soracha Thamphiwatana, Qiangzhe Zhang, et al.. (2018). Coating Nanoparticles with Gastric Epithelial Cell Membrane for Targeted Antibiotic Delivery against Helicobacter pylori Infection. Advanced Therapeutics. 1(2). 133 indexed citations

12.

Zhuang, Jia, Ying Man, Kevin Spiekermann, et al.. (2018). Biomimetic Nanoemulsions for Oxygen Delivery In Vivo. Advanced Materials. 30(49). e1804693–e1804693. 106 indexed citations

13.

Zhang, Yue, Jianhua Zhang, Wansong Chen, et al.. (2017). Erythrocyte membrane-coated nanogel for combinatorial antivirulence and responsive antimicrobial delivery against Staphylococcus aureus infection. Journal of Controlled Release. 263. 185–191. 156 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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